| Exercise levels and preferences in cancer patients: a cross-sectional study A Avancini, V Pala, I Trestini, D Tregnago, L Mariani, S Sieri, V Krogh, ... International journal of environmental research and public health 17 (15), 5351, 2020 | 73 | 2020 |
| Data of patients undergoing rehabilitation programs R Seccia, M Boresta, F Fusco, E Tronci, E Di Gemma, L Palagi, ... Data in brief 30, 105419, 2020 | 36 | 2020 |
| What drives a donor? A machine learning‐based approach for predicting responses of nonprofit direct marketing campaigns D Cacciarelli, M Boresta Journal of Philanthropy and Marketing 27 (2), e1724, 2022 | 11 | 2022 |
| A mixed finite differences scheme for gradient approximation M Boresta, T Colombo, A De Santis, S Lucidi Journal of Optimization Theory and Applications 194 (1), 1-24, 2022 | 4 | 2022 |
| Convolutional neural networks and multi-threshold analysis for contamination detection in the apparel industry M Boresta, T Colombo, A De Santis arXiv preprint arXiv:2207.12720, 2022 | 1 | 2022 |
| Enabling gradient-based optimization methods in problems with unreliable or absent derivatives M Boresta | | 2022 |
| Computational issues in Optimization for Deep networks C Coppola, L Papa, M Boresta, I Amerini, L Palagi | | 2022 |
